Title : Handsignals Recognition From Video Using 3D Motion Capture Data
Authors : Tai-Peng Tian and Stan Sclaroff
Date: November 4, 2004
Abstract:
Hand signals are commonly used in applications such as giving
instructions to a pilot for airplane take off or direction of a crane
operator by a foreman on the ground. A new algorithm for recognizing
hand signals from a single camera is proposed. Typically, tracked 2D
feature positions of hand signals are matched to 2D training
images. In contrast, our approach matches the 2D feature positions to
an archive of 3D motion capture sequences. The method avoids explicit
reconstruction of the 3D articulated motion from 2D image
features. Instead, the matching between the 2D and 3D sequence is done
by backprojecting the 3D motion capture data onto 2D. Experiments
demonstrate the effectiveness of the approach in an example app
lication: recognizing six classes of basketball referee hand signals
in video.